Use Determinants of Smoking Cessation App

NCT05318651 | Completed

• 1 other identifier: A20273336
• Study Type: interventional
• Target: 255
• Locations: 1 country
• Sites: 1

Brief Summary

The development of mobile applications ("mobile apps") is steadily increasing and appears to be a promising treatment method to help people change unwanted behaviors or maintain a regular relationship with the medical system. Mobile apps aimed at smoking cessation have been shown to be effective. However, if a treatment is not used regularly, it will not have the desired effect. The main objective of this study is to identify what makes a person decide to use a smoking cessation app and to do so regularly. The second objective is to determine what is necessary to achieve long-term change with a mobile app.

Conditions

Smoking Cessation; Technology Acceptance Model; CBT; Engagement

Keywords

E health; smoking cessation; engagement determinants; intention to use; TAM model

Outcome Measures

Primary Outcomes (10)

• First Use

  The ratio of people accessing the app after giving them access to it.

  Day 1 - First use

• Mobile App Sustain Use (MASU)

  The ratio of times the application is accessed per week..

  90 days post firs use of the mobile apps

• Mobile App Intention Use (MAIU):

  Questionaire : please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of : 1. In the next week 2. In the next month

  Day 15

• Mobile App Intention Use (MAIU):

  Questionaire : please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of : 1. In the next week 2. In the next month

  Day 30

• Mobile App Intention Use (MAIU):

  Questionaire : please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of : 1. In the next 15 days 2. In the next month

  Day 60

• Mobile App Intention Use (MAIU):

  Questionaire : Please specify by selecting a number from 1 to 3, with 1 being "Just once", 2 being "Daily" and 3 being "Several times a day", how often you expect to use this application in the course of : 1. In the next week 2. In the next month

  Day 90

• Mobile App Satisfaction assessment (MAS):

  The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5 (25).This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807)

  Day 15

• Mobile App Satisfaction assessment (MAS):

  The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5 (25).This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807)

  Day 30

• Mobile App Satisfaction assessment (MAS):

  The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5 (25).This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807)

  Day 60

• Mobile App Satisfaction assessment (MAS):

  The Mobile App Ratting Scale (MARS) scale is a multidimensional metric that ranks and assesses the quality of mobile apps. The MARS total score can be used to evaluate and compare the quality of an application with others. The total score is calculated as the average of its five categories: user engagement, functionality, aesthetics, information and subjective quality. Each category is rated on a five-point scale ranging from inadequate-1 to excellent-5.This scale has been used previously to assess the quality of smoking cessation apps in the Australian market with high inter-rater reliability (ICC =0.807).

  Day 90

Secondary Outcomes (10)

• Smoking profile (SP)

  1 day before the first use of the mobile app

• Craving intensity (CI)

  1 day before before the first use of the mobile app

• Craving intensity (CI)

  Day 15

• Craving intensity (CI)

  Day 30

• Craving intensity (CI)

  Day 60

Study Arms (1)

mobile app users

EXPERIMENTAL

Device: Kwit SAS - smoking cessation app

Interventions

Kwit SAS - smoking cessation app DEVICE

Kwit is a mobile app for smoking cessation. Different CBT techniques are used by the app already been proved as effective : Case analysis craving tool, Achievements badges,Diary, Goal (outcome) setting, A 9-steps preparation program, psychological education, Emotional monitoring, Access to groups on social networks, different strategies ( NRT/water/meditation), Motivational cards.

mobile app users

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Age: Be 18 years of age or older,
• Smoking Status: consider themselves an active smoker
• Motivation to quit: be willing to quit smoking, in the short and medium term.
• Agreement to participate: They must also agree to participate in the study. They will have read the information note where the procedure is described; the researchers presented and their rights to withdraw from the study are recalled.

You may not qualify if:

• Participants must have a smartphone with an iOS or Android operating system
• Access to the internet to complete the questionnaires
• Download the application and receive the updates it offers.

Sponsors & Collaborators

• Paris Nanterre University: lead

Study Sites (1)

Universite Paris Nanterre, Epscp

La Defense, Nanterre, 92001, France

Location

Related Publications (11)

• Taylor GMJ, Dalili MN, Semwal M, Civljak M, Sheikh A, Car J. Internet-based interventions for smoking cessation. Cochrane Database Syst Rev. 2017 Sep 4;9(9):CD007078. doi: 10.1002/14651858.CD007078.pub5.

  PMID: 28869775 BACKGROUND

• Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev. 2016 Apr 10;4(4):CD006611. doi: 10.1002/14651858.CD006611.pub4.

  PMID: 27060875 BACKGROUND

• Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y, Dobson R. Mobile phone text messaging and app-based interventions for smoking cessation. Cochrane Database Syst Rev. 2019 Oct 22;10(10):CD006611. doi: 10.1002/14651858.CD006611.pub5.

  PMID: 31638271 BACKGROUND

• Regmi K, Kassim N, Ahmad N, Tuah NA. Effectiveness of Mobile Apps for Smoking Cessation: A Review. Tob Prev Cessat. 2017 Apr 12;3:12. doi: 10.18332/tpc/70088. eCollection 2017.

  PMID: 32432186 BACKGROUND

• Hoeppner BB, Hoeppner SS, Seaboyer L, Schick MR, Wu GW, Bergman BG, Kelly JF. How Smart are Smartphone Apps for Smoking Cessation? A Content Analysis. Nicotine Tob Res. 2016 May;18(5):1025-31. doi: 10.1093/ntr/ntv117. Epub 2015 Jun 4.

  PMID: 26045249 BACKGROUND

• Rajani NB, Weth D, Mastellos N, Filippidis FT. Adherence of popular smoking cessation mobile applications to evidence-based guidelines. BMC Public Health. 2019 Jun 13;19(1):743. doi: 10.1186/s12889-019-7084-7.

  PMID: 31196062 BACKGROUND

• Cho J, Quinlan MM, Park D, Noh GY. Determinants of adoption of smartphone health apps among college students. Am J Health Behav. 2014 Nov;38(6):860-70. doi: 10.5993/AJHB.38.6.8.

  PMID: 25207512 BACKGROUND

• Cotten SR, Gupta SS. Characteristics of online and offline health information seekers and factors that discriminate between them. Soc Sci Med. 2004 Nov;59(9):1795-806. doi: 10.1016/j.socscimed.2004.02.020.

  PMID: 15312915 BACKGROUND

• Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth. 2015 Mar 11;3(1):e27. doi: 10.2196/mhealth.3422.

  PMID: 25760773 BACKGROUND

• Rajani NB, Mastellos N, Filippidis FT. Self-Efficacy and Motivation to Quit of Smokers Seeking to Quit: Quantitative Assessment of Smoking Cessation Mobile Apps. JMIR Mhealth Uhealth. 2021 Apr 30;9(4):e25030. doi: 10.2196/25030.

  PMID: 33929336 BACKGROUND

• Rahimi B, Nadri H, Lotfnezhad Afshar H, Timpka T. A Systematic Review of the Technology Acceptance Model in Health Informatics. Appl Clin Inform. 2018 Jul;9(3):604-634. doi: 10.1055/s-0038-1668091. Epub 2018 Aug 15.

  PMID: 30112741 BACKGROUND

MeSH Terms

Conditions

Smoking Cessation

Condition Hierarchy (Ancestors)

Health Behavior; Behavior

Study Officials

• Lucia ROMO

  Pr. de psychologie clinique UNIVERSITE PARIS NANTERRE

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: BASIC SCIENCE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: March 9, 2022
• First Posted: April 8, 2022
• Study Start: March 21, 2022
• Primary Completion: June 21, 2022
• Study Completion: August 8, 2022
• Last Updated: August 12, 2022

Record last verified: 2022-08

Data Sharing

• IPD Sharing: Will not share

Locations

FR (1)